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White Paper
Image-based On-line Measurement of
Crepe Structure
Executive Summary
Creping is one of the most important phases in the tissue and towel making process,
and has a major impact on the touch and feel of the product for the end user. In
addition to the obvious impact on end product feel and quality, unsatisfactory creping
also has a negative impact on total production line efficiency including the converting
process.
Creping produces strong topographic marking on the surface of the tissue web.
Although it carries detailed information about the creping process and tissue properties
this structure is not routinely analyzed in the laboratory. On-line methods for this
analysis are even more uncommon.
Crepe Structure Measurement presented in this white paper is based on a new,
imaging-based sensor to improve visibility into the creping process. By providing
constant online characterization of crepe topography structure in cross and machine
directions, the sensor provides an unprecedented tool for the user to optimize multiple
cross-coupled production factors of creping including doctor blade geometry and
pressure, Yankee and hood temperature, crepe aid mix and application, crepe
percentage, and blade lifetime to improve production quality and efficiency. In addition,
Crepe Structure Measurement delivers valuable real-time information during process
development, trial runs, and trouble shooting.
Implementation of online crepe structure measurement in conjunction with the
Experion MX QCS platform can result in significant improvements in product quality
and production.
Imaging-base On-line measurement of Crepe Structure 2
Table of Contents
Crepe application overview.......................................................................................................................................................................3
Operating principal of crepe structure measurement….….,..................................................................................................................4
Introduction to crepe measurement….....................................................................................................................................................5
Visual comparison of different crepe properties………….......................................................................................................................5
Trial results of measurement response to crepe blade wear and change………………………………………………………………...6
Folds per length……………....................................................................................................................................................................6
Crepe micro…………………...................................................................................................................................................................7
Crepe Macro………………......................................................................................................................................................................8
Impurity………………………...................................................................................................................................................................9
Caliper correlation………………………………………………………………………………………..…………………………………………...9
Tissue caliper measurement by analyzing sheet topography structure……………………..……………………………………………...9
Honeywell Experion MX QCS and user interface…………………………..……………….……..…………………………………………...10
Value of on-line crepe structure measurement……………………………...….…………………..………………………………..………...11
Benefits of Online Measurement of Crepe Topography Structure Include………………........................................................................4
Benefits of Online Measurement of Crepe Topography Structure Include………………………………………………………………..11
Conclusion………………………………………………………………..…………..…………………………………………………………….…12
Imaging-base On-line measurement of Crepe Structure 3
Crepe application overview
Many of the fundamental properties required by high quality tissue and towel products are dependent upon creping. Creping increases
sheet bulk and softness and improves sheet absorbance and stretch. It is the single, most important phases in production of tissue
paper.
After initial dewatering of diluted slurry of pulped wood fibers, the moist
sheet is transformed onto the surface of a hot, rotating cast iron drum
called a Yankee dryer. Transformation is done by a pressure roll rotating
against the Yankee. The lightweight sheet of fibers moves at high speed
rates up to 2200 m/min and gets scraped off the Yankee surface by a
creping blade. This transition of mechanical energy breaks the fiber
bonds creating micro folds piling up against the Yankee as it rotates.
The sheet separates from the Yankee in sequences, as the pile of micro
folds gets high enough to allow separating forces to overcome the
adhesive forces. As a result the pile falls into a macro fold. The sheet is
then wound up on a rotating reel with lower speed compared to the
Yankee. The speed difference sustains the folded surface structure of
the sheet characteristic to crepe paper.
Crepe doctor blade geometry and loading has significant impact on crepe
topography and sheet folding properties. The top of the blade is ground to
a certain angle. The angle between Yankee tangent and blade top is
called creping angle or angle of attack, and it has significant impact on
crepe wave length and distribution of micro and macro folds. The larger
the creping angle becomes, the less micro crepes are formed per each
macro fold. Likewise in a geometrical arrangement positioning the blade
to a lower angle can create and sustain higher structure with more piled-
up micro crepes.
In addition, the creping process typically involves usage of a polymeric mixture of adhesive spayed onto the Yankee surface to ensure
wear protection of the Yankee, sufficient sheet adhesion during drying, and non-destructive release of the fragile sheet when doctored
by the creping blade. Coating mixture application and properties has a major impact on crepe structure as well.
As discussed earlier, uniform crepe performance and quality depends upon a sensitive balance of a multitude of factors affecting the
process. Until now, only labroratory offline measurement solutions were availabe for measuring crepe. A new imaging-based
measurement of crepe structure introduced in this white paper characterizes surface crepe properties online. Process parameters such
as coating spay temperture, pressure, viscosity and flow, blade geometry, load and wear, Yankee and hood temperature, pressure roll
performance and so on, all together determine creping perfomance. Optimization of these parameters based on real-time feedback for
trouble-shooting and process development, results in comprehensive performance and quality improvements including converting
efficiency. This is due to uniform and optimized dry end performance on the tissue machine.
Figure 1. Crepe process
Figure 2. Sheet crepe structure
Imaging-base On-line measurement of Crepe Structure 4
Operating Principal of Crepe Structure Measurement
This new modular sensor is based on single-sided gauging and contains a camera, a high-power solid-state illumination unit and
dedicated signal processor for real-time image analysis. The sensor module is mounted into a traversing scanner head and produces
multiple numeric values characterizing crepe topography structure in both cross (CD) - and machine (MD) directions. In addition, the
sensor provides image captures from user-definable cross direction positions for visual analysis and trouble-shooting during each scan.
The sensor operates on the imaging-
base principal. It triggers an extremely
short, yet highly intensive light pulse
length varying from 0.2µs to 4.0µs to
immobilize the moving sheet for image
capturing. Capturing is executed at rate
of 10Hz and light pulse length is
adjusted continuously for each image
individually based on the machine
speed and reflectance properties of the
sheet. Every image is analyzed in real-
time with proprietary algorithms to
perform numeric characterization of the
sheet’s crepe topography structure. In
addition, the sensor provides an average of all images analyzed during edge to edge scan.
The sensor communicates with the quality control system (QCS) host using redundant ethernet communication. Special real-time
protocol is used over ethernet to align sensor data acquisition to a common timeline and spatial domain with the measurements from
other sources by means of ethernet asynchronous packet data methodology.
The tissue machine environment presents a challenge for any sensitive mechanics and electronics due to high ambient temperatures
and the constant presence of excess fiber dirt. The sensor is able to compensate for dirt build-up onto the gauge window, variations in
reflectance and environment illuminations as well as sheet pass line fluctuations. The QCS system provides environmental stabilization
for temperature and humidity inside the head that encloses the sensors.
The imaging-based, non-contacting gauging principal is most suitable for fast moving, fragile tissue sheets, but it also sets some
fundamental application constraints and requirements. The topography of crepe structure must be visually detectable at the
measurement location. Despite advanced algorithms used by the sensor tuned exclusively for crepe structure detection, it is possible
that the measurement may be impacted by other more dominant surface markings such as TAD or belt patterns. The sensor has
proven to perform without any issues on many applications. However, if other dominant markings are present, measurement feasibility
can be easily evaluated by off-line analysis of product samples.
Figure 3. Operating principal of crepe structure measurement
Imaging-base On-line measurement of Crepe Structure 5
Introduction to crepe measurement
Crepe Structure Measurement provides the following online numeric variables: crepe folds per length unit (centimeter or inch), crepe
micro, crepe macro, and crepe impurity as primary measurements. In addition, the sensor provides gray level and passline as auxiliary
measurements for internal calculation and compensation. Crepe micro correlates to small scale surface smoothness and roughness,
and is defined as image grayscale variance within specific short wavelength range of the spectrum. Crepe macro represents crepe fold
magnitude and is defined as image grayscale variance within a longer wavelength range. A crepe fold per length unit defines a
dominant folds wavelength and can be expressed in 1/inch or 1/cm units. Crepe impurity indicates dominance of bright or dark areas in
the picture. Table 1 indicates measurement ranges and their correlation to the sheet surface topography
Table 1
Crepe Structure Measurement also correlates to sheet caliper and stretch with certain applications even thought they are not the
primary measurements. Stretch is defined as machine direction scan average value only.
Visual comparison of different crepe properties
Figure 4 shows images of three different crepe samples and gives an example of visual appearance and its relationship to the
measurements. The middle sample, for example, has a relatively flat surface and higher folds per length compared to other samples.
Correspondingly, the right hand side sample has a more dominant and high magnitude fold structure with longer dominant fold
wavelength.
Measurement Units Measurement range
Typical value
Visual Surface Appearance (low
value)
Visual Surface Appearance (high
value)
Crepe Micro - 0-50000 1000-4000 Smooth silky surface Small scale roughness
Crepe Macro - 0-50000 500-2000 Flat surface
Crepe folds per length 1/inch, 1/cm 1-2000 50-200 Long crepe waves Short crepe waves
Crepe Impurity - -100 to 100 -5.0 – 5.0 Dark areas dominate Bright areas dominate
Image Gray level - 0 – 255 70-100 Dark image Bright image
Sheet passline mm 0.0 – 10.0 3.0 – 7.0
Figure 4. Images of three different crepe samples
Imaging-base On-line measurement of Crepe Structure 6
Trial results of measurement response to crepe blade wear and change
When the blade pushes against the rotating iron Yankee it wears despite the friction-reducing coating layer. As the blade wears, its
geometry and surface pressure properties change causing crepe bias to drift out of from the optimum. Therefore, the blade needs to be
replaced frequently. Most commonly used steel blade is typically replaced in every three to eight hours to maintain crepe structure
within acceptable limits. A blade change procedure requires a sheet break, resulting in production downtime.
The following graphic shows scan average MD measurement trend during several hour run period. The graphs show periods of several
consecutive blade changes in the time domain. Blade change events are identified with red arrows.
Crepe folds per length
Measurement in figure 5 shows large step in folds
per inch measurement right after each blade change
compared to situation with a worn blade.
Measurement decreases rapidly during first 5 to15
minutes. This is an initial blade wear period where
the blade angle of attack and contacting area settles.
After a rapid initial wear, measurement decay is
somewhat linear until a blade change occurs and
shows step up again in the measurement.
It is also noticeable that the folds per inch measurement
demonstrated very good repeatability. Graph in figure 6
plots seven blade run sequences into a single diagram and
the trend plots align quite perfectly. Measurement
repeatability is important when considering process target
shifts or blade life optimization based on online feedback.
Figure 5. Crepe folds per length response to blade change
Figure 6. Crepe folds per length repeatability
Imaging-base On-line measurement of Crepe Structure 7
Waterfall graphics in figure 7 shows 50 consecutive crepe folds per inch cross direction profile measurements before and after the
blade change where the most recent measurement is shown on the top. Graphics clearly shows significant step right after the blade
change. In addition to obvious jump in profile average, the shape of the profile also changes significantly. As the blade reaches its end
of life, the profile gets more deviated from its flat optimum as can be seen in the graphics at the middle of the sheet. Like with any other
online measurement, it is possible to set specific profile deviation limits within the QCS system to notify operator if any of the crepe
structure variables deviates more than accepted. Profile measurement provides a tool for process target shifts or optimization. In
addition, crepe profile data carries valuable information about process conditions and helps the user to evaluate possible needs for
adjustments and maintenance actions to maintain quality within an acceptable range. Uniform quality of a jumbo roll crepe in cross
direction ensures good efficiency and runnability in the post converting process.
Crepe micro
Crepe micro measurement behavior in figure 8 is
similar to fold per length after a blade change.
Identical initial decay can be seen in crepe micro
measurement followed by more linear decay.
Accordingly, the sheet has finer crepe structure
and higher surface softness when running with a
new, unworn blade. After running some time blade
wear and excess coating build up on the Yankee
cylinder surface resulting in coarser crepe structure
and decreased surface softness.
Figure 7. 50 Profile color map graphics showing impact of a blade change
Figure 8. Crepe micro response to blade change
Imaging-base On-line measurement of Crepe Structure 8
Crepe macro
Macro crepe behavior shown in figure 9 is different than
crepe micro and folds per length. As the blade wears, the
crepe structure becomes more uneven and coarser but
the sheet bulk softness also increases. Contrary to folds
per length which indicates the frequency of crepe folds in
spatial domain, crepe macro represents magnitude (or
amplitude) of the folds. Measurement linear increase in
the adjacent graph is a result of bulk softness increase
caused by a wearing blade. Coarseness and unevenness
can be seen in a trend plot as increased deviation and
noise at the end of life of a blade prior to replacement.
Trend plot graphics in figure 10 shows a grade change where
sheet grammage is increased from 17 gsm to 24 gsm.
Transition is identified with red arrows and shows related
sensor image captures before and after. Along with grammage
increase, the spray boom size dosing is reduced by half during
transition. Accordingly, crepe macro changes from 700 to 2200
during grade change and can be seen clearly on related
images.
Graph in figure 10 shows a blade change impact on crepe
macro with corresponding image captures. Impact of a worn
blade and its correlation to crepe macro can be visually
observed from the images below. Major drop from 3300 to
1500 in crepe macro can be seen immediately after a blade
change. Obvious visual correlation to the measurement can be
seen in the images as a new, unworn blade (1500) produces
finer, more uniform crepe structure compared to captures prior
to (3300) and several hours after a blade change (3000).
Figure 9. Crepe macro response to blade change
Figure 10. Grade change impact to crepe
Figure 11. Blade change impact to crepe
Imaging-base On-line measurement of Crepe Structure 9
Crepe impurity
Crepe impurity measurement defines the relationship of
dark and bright areas in a sample picture. When dark
areas dominate, sign of the measurement becomes
negative. Correspondingly, sign is positive when bright
areas dominate. As discussed earlier, crepe structure
will become coarser as the blade wears, which would
eventually even cause holes to develop unless blade is
replaced. Coarseness increase can be seen in the
adjacent impurity trend as increased noise when
approaching the end of life of a blade.
When holes start to develop, the impurity indicator will
show dropping spikes as the average reflectance of the
sheet with hole(s) in it suddenly decreases.
Tissue Caliper Measurement by Analyzing Sheet Topography Structure
The caliper of lightweight tissue sheet is primarily defined by the magnitude of crepe fold structure. Therefore, it is possible to determine
caliper of the sheet with restrictions by analyzing its topographic structure. However, it is important to recognize that some grades or
later process phases may have an impact on the fold structure and the method sensor applies may not be eligible on every case. Even
though caliper is not considered as a primary measurement of the crepe sensor, some very encouraging evidence of good caliper
correlation has been found. Trend graphics in figure 13 shows laboratory measurement plotted with online measurement during three
day trial period. Coefficient of determination for laboratory and online measurements data in figure 14 shows good laboratory correlation
during the test run period. Evidently, the sensor has caliper measurement capability on restricted grades and applications.
Figure 12. Crepe impurity
Figure 13. Three day Caliper lab. vs. online trend Figure 14 Lab. vs. Online caliper coefficient of correlation
Imaging-base On-line measurement of Crepe Structure 10
Experion MX QCS and User Interface
The new Crepe structure measurement is available on Honeywell’s Experion MX QCS platform. While the sensor is performing the
actual measurement and heavy real-time computation required by image analysis, The QCS performs functions such as engineering
unit conversions, data mapping and storage, measurement analysis, MES system connectivity, and user interface. It also provides
access to sensor maintenance and diagnostic information. Experion MX offers a versatile set of features and tools for comprehensive
utilization of the measurement such as configurable trending view, 3D-colormap of profile history, profile measurement stability
analysis, CD and MD measurement power spectrum analysis, and
more.
Special displays engineered solely for imaging-base measurements
have been developed for operator use. Displays present actual
image captures from the gauging position in addition to conventional
numeric data provided by the sensor.
Main user display (figure 15) shows all the crepe MD
measurements in numeric, but it also show the main variables
graphically in a single polar plot with history and nominal data. Each
measurement can be selected into a profile plot view with different
spatial and time domain filtration. In addition, image capture best
representing the average on a scan is presented.
Image capture display (figure 16) is intended for visual analysis
and trouble shooting. The Operator can select four locations across
the sheet edges from which the sensor reports numeric characterization and delivers real image capture during each scan. Selectable
profile plot is shown also on the display.
Image gallery display (figure 17) improves operator’s situational
awareness showing crepe bias development in a longer timeframe.
The display shows the eight most recent reel average images on a
ring buffer with grade related nominal reference image in the
middle for comparison. It helps operators to detect and respond to
slow drifting in crepe bias. Numeric values related to each image
can be selected for observation from the pull-down menu.
Figure 15. Crepe main display
Figure 16. Crepe image capture display
Figure 17. Crepe image gallery display
Imaging-base On-line measurement of Crepe Structure 11
Value of On-line Crepe Structure Measurement
Profitable tissue making means continuous, stable production with minimal deviations from quality specifications. Creping is one of the
fundamental and the single most important phases in tissue and towel making process. It defines major portion of the end product
quality but it has significant impact on overall production efficiency as well. The crepe process is in fact in a continuous state of
transition due to doctor blade wear. Subsequently repeated blade changes cause frequent upsets to a process. While optimal steady
state performance is essential, minimization of downtime, waste, and recovery time due to upsets and transitions such as grade
changes or sheet breaks is where the greatest gains can be achieved.
It would not be prudent to consider a modern tissue machine without having a QCS system and at least some basic online
measurements. Until now there have been only offline laboratory apparatuses available for analyzing of crepe topography structure.
While such devices can be used for routine sample-based production quality monitoring, they are not really suitable for effective
process optimization or development. A QCS system equipped with new crepe structure sensor delivers real-time feedback and
characterization of crepe online similar to and aligned with other process quality measurement data.
By optimizing and increasing performance of a creping alone, it is possible to achieve major improvements on production quality and
total efficiency. Like any optimization - even manual – the foundation is set by the feedback of continuous, reliable measurements.
Controlling of complex cross-coupled process like creping with multiple factors defining the output can be challenging by itself, and it is
virtually impossible to max out any process to the limit without having true, online visibility into it.
Improved visibility and modern data analysis features provided by Experion MX and crepe structure measurement apply unprecedented
toolset for efficient process development, trial runs and troubleshooting.
Benefits of Online Measurement of Crepe Topography Structure
There are many potential targets for utilization of the new measurement of crepe topography structure. The following are major
benefits identified based on the sensor test run results and site feedback.
Improved, uniform quality – Constant online process feedback available to enable real-time optimization
Increased production – Enables process target shifts with less downtime
Improved efficiency – Reduced waste and re-setting of converting machines required when steady crepe bias is maintained
Extended doctor blade lifetime - Blade change strategy turn-around from runtime with safety margin to needs based only
Optimized coating mix and application – Yankee adhesion optimization to achieve optimal sheet smoothness and stretch
Yankee energy optimization – Equal or better crepe with less energy
Process development and troubleshooting – Unprecedented tool for agile process development
Imaging-base On-line measurement of Crepe Structure 12
For More Information
Learn more about how Honeywell’s Crepe
Structure Measurement can improve tissue
production, quality and efficiency, visit our
website www.honeywellprocess.com or contact
your Honeywell account manager.
Honeywell Process Solutions
Honeywell
1250 West Sam Houston Parkway South
Houston, TX 77042
Honeywell House, Arlington Business Park
Bracknell, Berkshire, England RG12 1EB UK
Shanghai City Centre, 100 Zun Yi Road
Shanghai, China 200051
www.honeywellprocess.com
Conclusions
Creping is a complex yet important process phase where many of the properties required by quality tissue and towel grades are
introduced into a final product. In addition, sustaining uniform crepe is important for gaining good runnability and efficiency in post
converting operations. This white paper has presented a new imaging-base online sensor for crepe structure measurement. Until now,
there have been only a few offline laboratory apparatuses and no online solutions commercially available for crepe measurement. This
new sensor delivers characterization of crepe with multiple numeric values as well as real image captures from the fast moving sheet,
and it has demonstrated good results in beta testing on various tissue grades.
The sensor is now available in Honeywell’s Experion MX QCS platform and consolidates common Experion architectural features for
easy, efficient and flexible data utilization. The new Crepe Structure Measurement applies a unique tool to optimize production quality
and efficiency in real time.
WP-15-09-ENG
April 2015
© 2015 Honeywell International Inc.